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a real call showing how an AI voice agent powered by @GnaniAi handles patient consent, detects urgency, triggers a nurse callback and books follow-ups built with gnani prisma + timbre [ sound on 🔉 ] #GnaniAI #GreatIndianAIInternshipChallenge

What happens to patients after they leave the hospital? Who checks if they're recovering well? Who follows up on their medication? Who catches the warning signs before they turn into complications? That's the problem @vontrix7 and I wanted to solve We built CareLoop - an AI voice agent that calls patients after discharge, speaks their language, checks their recovery and helps them get medical attention when needed Here's what it does: - Calls patients on scheduled days after discharge - Speaks 10 Indian languages, including Hinglish - Checks symptoms, medication adherence and recovery progress - Detects warning signs and sends real-time alerts to nurses - Books, reschedules and cancels follow-up appointments - Falls back to WhatsApp/SMS when patients don't answer Safety was a major focus - AI can escalate urgency, never downgrade it - Understands negation to avoid false alerts - Uses fixed safety scripts for urgent situations - Every alert includes the triggered rule and the patient's exact words Clinics get structured recovery reports instead of having to go through hours of call transcripts Built using @GnaniAi Prisma (speech-to-text) and Timbre (text-to-speech) [ A full walkthrough of CareLoop and the website link are both attached in the comments ] #GnaniAI #GreatIndianAIInternshipChallenge